Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.
A Parameter-Free Derivation of the Yang-Mills Mass Gap via 3D Vorton Dynamics and Dimensional Transmutation
September, 2026 • Presentation
Aksman, Michael
We present a deterministic, parameter-free derivation of the Yang-Mills mass gap (∆ > 0) by resolving the continuum coordinate singularity of the Makeenko-Migdal loop equations through th…
We present a deterministic, parameter-free derivation of the Yang-Mills mass gap (∆ > 0) by resolving the continuum coordinate singularity of the Makeenko-Migdal loop equations through three-dimensional vorton regularization. By establishing a rigorous kinematic isomorphism between the non-Abelian commutator [Aµ, Aν] and the Helmholtz vortex-stretching tensor, wedemonstrate that the gauge field undergoes a continuous energy cascade. The unphysical zerothickness singularity is bypassed by introducing a finite topological core scale (∆l), governed strictly by Kolmogorov spatial scaling and the strong coupling constant αs. Applying the Bogomolny topological bound to a discrete ∆Lk = ±1 reconnection, we derive the minimumdissipative energy threshold. Finally, we show that the negative beta function and the resulting confinement scale Lconf trigger this cascade at a finite non-perturbative threshold, strictly bounding the mass gap above zero and completing the proof via dimensional transmutation.
CWL generated by ipython2cwl from the notebooks at cf60c7ff617c5a5060dbd2f2143d414d2df5b8f2.
mangrove-workflow-steps.cwl: packed workflow (run it as mangrove-workflow-steps.cwl#mangrove-workflow-step…
CWL generated by ipython2cwl from the notebooks at cf60c7ff617c5a5060dbd2f2143d414d2df5b8f2.
mangrove-workflow-steps.cwl: packed workflow (run it as mangrove-workflow-steps.cwl#mangrove-workflow-steps)
steps_*.cwl: one CommandLineTool per step notebook
mangrove_workflow_for_cwl.cwl: the single-notebook tool
Images (tag v0.0.2-rc2, digest at release time):
ghcr.io/geolabs/kindgrove/mangrove-cwl:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/mangrove-cwl@sha256:2376e9b20fdfa83b44a20824d891ebd8841d562ae20dde4ed9b8656211a511b1
ghcr.io/geolabs/kindgrove/calculate-indices:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/calculate-indices@sha256:ca69745d9c458fc0cbf0d27d44de975e7424e02e3bafd616b9fa8a5acbfee2b0
ghcr.io/geolabs/kindgrove/download-band:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/download-band@sha256:04ff2fc14ad75b549c5127a57141251a346a0936fe469ead3fd4c3723f8a567b
ghcr.io/geolabs/kindgrove/estimate-biomass:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/estimate-biomass@sha256:141f5df33170930b68b3378ee1fee7f17e2395fdb1a893d04a5cb197f2dfa0a4
ghcr.io/geolabs/kindgrove/export-stac:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/export-stac@sha256:78cf4a5430fa8c2152ca0aae2c1f2fbafa483c85c7f512831b257beb338b936f
ghcr.io/geolabs/kindgrove/mangrove-workflow-for-cwl:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/mangrove-workflow-for-cwl@sha256:584ccb5bc2a2b3b6cf02f7b4029ec4877c780c8f8234ab41f08785463271385f
ghcr.io/geolabs/kindgrove/reproject-band:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/reproject-band@sha256:ac0f3359d6f55b92e0354903581119b949b98e506dd4f407809310e09c3e9f6e
ghcr.io/geolabs/kindgrove/select-scene:v0.0.2-rc2 ghcr.io/geolabs/kindgrove/select-scene@sha256:35dd012a5aec6d5c2c1f88522125d8368bdc750c393f15e50de9e7b2786f4b6f
This is a complete, pre-configured Raspberry Pi OS disk image containing the working software and configuration for the Ecophysiometer, an open-hardware environmental monitoring device. It accompanies…
This is a complete, pre-configured Raspberry Pi OS disk image containing the working software and configuration for the Ecophysiometer, an open-hardware environmental monitoring device. It accompanies the manuscript "The Ecophysiometer: an open science approach to improve environmental monitoring" and reproduces the working system used to generate the results reported there. The image can be written directly to a microSD card (e.g. with Raspberry Pi Imager, balenaEtcher, or dd) and booted on compatible Raspberry Pi hardware without installing any software manually. It corresponds to the source code and hardware design archived at 10.5281/zenodo.22906767 or https://github.com/australScientist/PEF1
Guyane bleue / Amazônia Azul — espaces maritimes comparés (figure et note de données)
September, 2026 • Figure
Bachelin Sena, Antoine
Version 1.1 (23 septembre 2026). Marge équatoriale brésilienne reclassée de « revendiqué » à « reconnu » (recommandations de la CLPC approuv&…
Version 1.1 (23 septembre 2026). Marge équatoriale brésilienne reclassée de « revendiqué » à « reconnu » (recommandations de la CLPC approuvées le 27 février 2025). Encadré du panneau B : plateau reconnu ≈ 0,55 M km² ; plateau soumis ≈ 1,5 M km². Mention « dénomination proposée » au panneau A. Nouveau fichier : panneau C seul.
Côté brésilien, « reconnu » désigne les zones ayant fait l'objet de recommandations de la CLPC (région sud 2019, marge équatoriale 2025). Côté français, les limites du plateau sont en outre fixées par décret (n° 2020-376). L'Élévation du Rio Grande et la marge orientale-méridionale restent en soumission.
La CLPC décrit le rebord externe de la marge comme partant « from the border with France in respect of the area of French Guiana » et s'abstient de recommander une limite dans ce secteur pour ne pas préjuger de la délimitation France–Brésil (§§ 71 et 78 du résumé).
Figure originale en trois panneaux comparant les espaces maritimes français au large de la Guyane (« Guyane bleue », dénomination proposée par l'auteur) et les espaces maritimes brésiliens (« Amazônia Azul ») : mer territoriale, zone économique exclusive (200 milles) et plateau continental au-delà de 200 milles (reconnu par la CLPC / décret, ou seulement soumis).
Le dépôt contient : (1) la figure complète ; (2) une note de données (sources des géométries, définitions, écarts de surfaces MarineRegions–Shom) ; (3) un tableau CSV des surfaces de référence ; (4) le panneau C seul ; (5) les notes de version. Le fichier surfaces_reference.csv n'a pas été modifié en v1.1 ; pour le plateau brésilien, l'encadré du panneau B et les notes de version priment (reconnu ≈ 0,55 M km² ; soumis ≈ 1,5 M km²).
Géométries : MarineRegions / VLIZ, Maritime Boundaries Geodatabase v12 (doi:10.14284/632, doi:10.14284/697) et Natural Earth. Marge équatoriale brésilienne : CLPC, résumé des recommandations du 27 février 2025, table 4. Surfaces françaises de référence : Shom, tableau des superficies au 26 janvier 2023 (limitesmaritimes.gouv.fr). Surfaces brésiliennes de référence : Marinha / LEPLAC / CIRM ; marge équatoriale ≈ 360 000 km² (note conjointe MRE / Marinha, 3 avril 2025).
Écart principal documenté : le polygone « EEZ » MarineRegions de Guyane (~131 506 km²) agrège eaux intérieures + mer territoriale + ZEE ; le Shom isole une ZEE stricto sensu de 121 746 km². Contrôle : 2 950 + 6 810 + 121 746 = 131 506 km². Plateau français au-delà de 200 milles : 69 955 km² (Shom 2023), fourchette de lecture de la figure 62–72 000 km² (communication EXTRAPLAC / recommandation CLPC 2009 ~72 000 km² ; décret n° 2020-376).
La figure n'est pas une délimitation officielle. Au-delà de 200 milles, les droits portent sur le sol et le sous-sol seulement (art. 77 CNUDM).
English — Version 1.1: Brazil's Equatorial Margin reclassified from submitted to CLCS-recommended (recommendations approved 27 February 2025); the Rio Grande Rise and the Eastern-Southern Margin remain under review. Panel B box: recognised shelf ≈ 0.55 M km², submitted ≈ 1.5 M km². Original three-panel figure comparing French maritime spaces off French Guiana ("Guyane bleue", a name proposed by the author) and Brazilian maritime spaces ("Amazônia Azul"): territorial sea, EEZ (200 nautical miles), and continental shelf beyond 200 nm (CLCS-recommended / decreed versus submitted only). Main documented discrepancy: MarineRegions' French Guiana "EEZ" polygon (~131,506 km²) aggregates internal waters + territorial sea + EEZ; Shom reports a strict EEZ of 121,746 km². Check: 2,950 + 6,810 + 121,746 = 131,506 km². Not an official delimitation. Beyond 200 nm: sovereign rights over the seabed and subsoil only.
MagicFlow: Breaking the Magic State Bottleneck for Scalable Fault-Tolerant Quantum Computing — Artifact Evaluation
September, 2026 • Software
Wang, Meng
This artifact contains the code and inputs needed to reproduce selected experimental results from the MagicFlow paper. It runs fresh magic-state cultivation, factory, utilization, routing, circui…
This artifact contains the code and inputs needed to reproduce selected experimental results from the MagicFlow paper. It runs fresh magic-state cultivation, factory, utilization, routing, circuit-level error, and Shor case-study experiments, then generates Figures 17–22, 24–25, and 27–28 and Tables 3–4 from the resulting data. The included README provides setup and execution commands and maps each generated result to the paper.
What's Changed
Upgrade all Sourcemeta dependencies by @jviotti in https://github.com/sourcemeta/one/pull/1248
Adopt SchemaFrame::Mode::Root from Blaze by @jviotti in https://github.com/sourcemeta/one…
What's Changed
Upgrade all Sourcemeta dependencies by @jviotti in https://github.com/sourcemeta/one/pull/1248
Adopt SchemaFrame::Mode::Root from Blaze by @jviotti in https://github.com/sourcemeta/one/pull/1249
Upgrade Blaze to d911fa085995ce3c4fe3d7027cf9252a4c16c47f by @jviotti in https://github.com/sourcemeta/one/pull/1250
Start benchmarking server operations by @jviotti in https://github.com/sourcemeta/one/pull/1247
Revise benchmark location by @jviotti in https://github.com/sourcemeta/one/pull/1251
Start decreasing dependence on Blaze's foundation module by @jviotti in https://github.com/sourcemeta/one/pull/1252
Upgrade Blaze to 079b9d438b37ee40966730c79a498abda84c04f8 by @jviotti in https://github.com/sourcemeta/one/pull/1253
Upgrade uWebSockets to v20.80.0 by @jviotti in https://github.com/sourcemeta/one/pull/1254
Upgrade Sourcemeta dependencies by @jviotti in https://github.com/sourcemeta/one/pull/1255
Stop exposing pointer locations on the locations endpoint by @jviotti in https://github.com/sourcemeta/one/pull/1256
Upgrade all Sourcemeta dependencies by @jviotti in https://github.com/sourcemeta/one/pull/1257
Fix ClangTidy warnings on the Community build by @jviotti in https://github.com/sourcemeta/one/pull/1258
Implement a new schema trace playground endpoint by @jviotti in https://github.com/sourcemeta/one/pull/1259
Fix KraftCloud public deployment timeouts by @jviotti in https://github.com/sourcemeta/one/pull/1261
Support the new trace playground endpoint over MCP by @jviotti in https://github.com/sourcemeta/one/pull/1260
Expose whether a schema is a meta-schema in its metadata by @jviotti in https://github.com/sourcemeta/one/pull/1262
Make the metaschema metadata flag independent of the view by @jviotti in https://github.com/sourcemeta/one/pull/1263
Support converting schemas into newer official dialects (Enterprise) by @jviotti in https://github.com/sourcemeta/one/pull/1264
Upgrade all Sourcemeta dependencies by @jviotti in https://github.com/sourcemeta/one/pull/1265
Reject boolean schemas with a clear error instead of crashing by @jviotti in https://github.com/sourcemeta/one/pull/1266
Never convert meta-schemas, and say why in the docs by @jviotti in https://github.com/sourcemeta/one/pull/1267
Cite Dr. JSON-LD in the RDF API docs by @jviotti in https://github.com/sourcemeta/one/pull/1271
Cite the API Evangelist new post on the guide by @jviotti in https://github.com/sourcemeta/one/pull/1272
Explain in the docs why ingested schemas get a new $id by @jviotti in https://github.com/sourcemeta/one/pull/1269
Add one-ui as a top-level ui/ folder by @itvi-1234 in https://github.com/sourcemeta/one/pull/1270
Report the base dialect of each dependency and dependent by @jviotti in https://github.com/sourcemeta/one/pull/1268
Declare the conversion in a converted schema's identifier by @jviotti in https://github.com/sourcemeta/one/pull/1274
Make the ./ui build not depend on any third-party CDN by @jviotti in https://github.com/sourcemeta/one/pull/1276
Point a converted schema's references at matching conversions by @jviotti in https://github.com/sourcemeta/one/pull/1275
Build and install the experimental web UI (share/sourcemeta/one/ui) by @jviotti in https://github.com/sourcemeta/one/pull/1277
Support an experimental web UI behind a configuration option by @jviotti in https://github.com/sourcemeta/one/pull/1278
Allow asking for a schema in the dialect it already declares by @jviotti in https://github.com/sourcemeta/one/pull/1280
Add manifest.webmanifest and icon assets to the UI, like the old one by @itvi-1234 in https://github.com/sourcemeta/one/pull/1282
Upgrade Sourcemeta dependencies by @jviotti in https://github.com/sourcemeta/one/pull/1283
Always bundle converted schemas by @jviotti in https://github.com/sourcemeta/one/pull/1281
Better explain auto-upgrades by @jviotti in https://github.com/sourcemeta/one/pull/1285
New Contributors
@itvi-1234 made their first contribution in https://github.com/sourcemeta/one/pull/1270
Full Changelog: https://github.com/sourcemeta/one/compare/v7.1.0...v7.2.0
David JM, Nicole Gay, PhD, Dan Katz, Byron, christopherjinet al.
Changes
inspectdf dependency removed: inspectdf was archived from CRAN on
2026-04-10, which made the package impossible to install from a clean
library (any dependency resolution against the CRAN sou…
Changes
inspectdf dependency removed: inspectdf was archived from CRAN on
2026-04-10, which made the package impossible to install from a clean
library (any dependency resolution against the CRAN source index, e.g. pak
in GitHub Actions, failed with "Can't find package called inspectdf")
New plot_na_percentage(): bar plot with the percentage of NA values
per column, computed with naniar::miss_var_summary() (naniar was already
a dependency). It replaces the inspectdf::inspect_na() %>% show_plot()
chart in the metabolomics, olink, and proteomics QC plots, producing the
same chart (same values, column order, and text labels)
Bug Fixes
Olink QC plots failed with ggplot2 4.0: the id-count plots of
plot_basic_olink_qc() labelled the bars with aes(label = n) instead of
olink_count, so ggplot2 resolved n to a function. ggplot2 4.0 rejects
that ("Aesthetics are not valid data columns"), so the olink QC plots failed
for any dataset with 200 samples or fewer
Tests
Unit tests for plot_na_percentage() and end-to-end tests of
plot_basic_metabolomics_qc() (bundled data) and plot_basic_olink_qc()
(synthetic data) writing the QC pdfs
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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